Triple
T16285930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Core Based Statistical Area |
E395387
|
entity |
| Predicate | metropolitanThreshold |
P122531
|
FINISHED |
| Object | 50000 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 50000 | Statement: [Core Based Statistical Area, metropolitanThreshold, 50000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metropolitanThreshold Context triple: [Core Based Statistical Area, metropolitanThreshold, 50000]
-
A.
isMetropolitanFor
Indicates that one entity serves as the primary metropolitan center or urban hub for another entity (such as a region, area, or service).
-
B.
metropolitan
Indicates that a location is part of, belongs to, or lies within a specified metropolitan (urban) area.
-
C.
hasMetropolitan
Indicates that an entity is associated with, served by, or located within a specific metropolitan area.
-
D.
metropolitanRank
Indicates the relative standing or position of a metropolitan area within a ranked ordering of metropolitan regions.
-
E.
isInMetropolitanAreaRank
Indicates that one metropolitan area holds a specific rank or position relative to others based on a defined metropolitan-area-related criterion (such as size, population, or importance).
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24914bda08190a5d6315414ee3f76 |
completed | April 17, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69e219f68d308190b71c1601303f0628 |
completed | April 17, 2026, 11:31 a.m. |
| PDg | Predicate description generation | batch_69e21e56e0348190a3d9475360231a70 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:05 a.m.